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INESC TEC
INESC TEC
INESC TEC
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AI4REALNET

INESC TEC

About the Project

AI for REAL-world NETwork operation

Artificial intelligence (AI) has the potential to enhance decision-making in the management of critical systems that have traditionally been under human direction. The EU-funded project, AI4REALNET will develop methods to prioritise trustworthiness in AI-assisted human control, incorporating augmented cognition, hybrid human-AI co-learning and autonomous AI, all while maintaining a focus on the resilience, safety and security of critical infrastructures. The project will also expedite the development and validation of new AI algorithms by the consortium and the broader AI community. It will do this by leveraging open-source AI-friendly digital environments capable of simulating realistic scenarios involving the operation of physical systems and human decision-making. AI4REALNET will contribute to address the critical aspects of decarbonisation, digitalisation and resilience in power grids, railway and air traffic control.
Acronym

AI4REALNET

Responsible

Ricardo Jorge Bessa

Status

active

Starting Date

January 1, 2023

Ending Date

January 31, 2027

Effective End Date

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Global Budget

€3,999,976.25

Funding

€516,975.00

Website

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Datasheet

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Associated Centres

Biomedical Engineering Research

The impact that science and innovation can have on the prevention, early detection, and support for the diagnosis of various types of diseases is fully explored at our Centre for Biomedical Engineering Research (C-BER). Guided by an interdisciplinary approach that prioritises technology transfer with economic impact—through the creation of new systems, tools, and methods related to disease diagnosis and monitoring, ageing, human rehabilitation, physiotherapy, and functional assessment—our researchers are dedicated to developing advanced technologies positioned at the intersection of engineering, medicine and health, and general well-being. Promoting strategic partnerships with clinical partners, research institutes, and encouraging international cooperation is one of the centre’s key priorities. Its research is structured across three distinct areas: Biomedical Imaging, Bioinstrumentation, and Neuroengineering.

Biomedical Engineering Research

Artificial Intelligence and Decision Support

Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.

Artificial Intelligence and Decision Support

Innovation, Technology and Entrepreneurship

The mission of our Centre for Innovation, Technology and Entrepreneurship (CITE) is to carry out multidisciplinary activities at the intersection of technology, innovation, sustainability, and management, promoting the exploration, implementation, and adoption of responsible and sustainable socio-technical systems. We focus on the areas of Innovation Management, Technology Management, and Technology-Based Entrepreneurship, exploring theories, methods, models, and tools to support the innovation process. Through research and innovation activities—including consultancy and advanced training—we address environmental, social, and economic challenges, contributing to the exploration, implementation, and adoption of innovative solutions. We create impact through research and innovation outcomes, aligning our activities with the Sustainable Development Goals (SDGs). We place high value on collaboration with both national and international partners. We are a member of the Enterprise Europe Network (EEN), where our mission is to support Portuguese companies on their innovation journey by identifying and fostering international partnerships for business or innovation development, while also helping to find the most relevant funding sources. We support the implementation of innovation management systems, integrating technology management with new business models and value chains, and promoting sustainable and responsible practices. We also run open innovation and acceleration programmes, contributing to the development of startups and the strengthening of innovation ecosystems. We work across three core areas: innovation management and the front end of innovation (FEI), technology management and policy, and entrepreneurship and business model innovation.

Innovation, Technology and Entrepreneurship

Power and Energy Systems

INESC TEC’s main actor in the energy field is the Centre for Power and Energy Systems (CPES), which falls within the Cluster Energy Systems. We at CPES are internationally recognised for our expertise in the integration of renewable energy in power systems, distributed generation, storage, smart grids and areas traditionally associated with the planning and operation of power systems. The high level of expertise developed has allowed our experts at CPES to take on key roles in important EU projects as part of the successive framework programmes that led to notable scientific and technical advances with considerable impact on industry. This has led to contracts for development and consultancy with companies manufacturing equipment and with generation, transmission and distribution companies, regulators, government agencies and investors in Europe, South America, the United States of America and Africa. At CPES, we address the following main research areas: Decision Making, Optimisation and Computational Intelligence, Forecasting, Static and Dynamic analysis of Energy Grids, Reliability, Power Electronics.

Power and Energy Systems